The lsmeans package (Lenth 2016) provides a simple way of obtaining least-squares means and contrasts thereof. It supports many models fitted by R (R Core Team 2015) core packages (as well as a few key contributed ones) that fit linear or mixed models, and provides a simple ...
Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental data for summarizing the effects of factors, and for testing linear contrasts among predictions. The lsmeans package (Lenth 2016) provides a simple way of obtaining least...
The definition fromlsmeanspackage is shown blow, that have been transitioned toemmeanspackage. Least-squares means (LS means for short) for a linear model are simply predictions—or averages thereof—over a regular grid of predictor settings which I call thereference grid. In fact, even when I...
LS{means (least{squares means) and other linear estimates:LS(最小平方方法{ {手段)和其他线性估计LS,{,帮助,Least,Means,least,mean,MEANS,and,LEAST 文档格式: .pdf 文档大小: 202.18K 文档页数: 17页 顶/踩数: 0/0 收藏人数: 0 评论次数: ...